| Exploring the effectiveness of llms in automated logging generation: An empirical study Y Li, Y Huo, Z Jiang, R Zhong, P He, Y Su, L Briand, MR Lyu arXiv preprint arXiv:2307.05950, 2023 | 28 | 2023 |
| Go static: Contextualized logging statement generation Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang, J Gu, P He, MR Lyu Proceedings of the ACM on Software Engineering 1 (FSE), 609-630, 2024 | 12 | 2024 |
| Knowledge-aware alert aggregation in large-scale cloud systems: a hybrid approach J Kuang, J Liu, J Huang, R Zhong, J Gu, L Yu, R Tan, Z Yang, MR Lyu Proceedings of the 46th International Conference on Software Engineering …, 2024 | 6 | 2024 |
| Exploring the effectiveness of llms in automated logging statement generation: An empirical study Y Li, Y Huo, Z Jiang, R Zhong, P He, Y Su, LC Briand, MR Lyu IEEE Transactions on Software Engineering, 2024 | 4 | 2024 |
| Automated Defects Detection and Fix in Logging Statement R Zhong, Y Li, J Kuang, W Gu, Y Huo, MR Lyu arXiv preprint arXiv:2408.03101, 2024 | 1 | 2024 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kongยืนยันอีเมลแล้วที่ cse.cuhk.edu.hk